Workshop: Probing the Frontiers of Nuclear Physics with AI at the EIC

Contribution List

21. Introduction

Felix Ringer (JLab/ODU)

9/25/23, 8:55 AM

Morning session 1

2. How uncertain your DIS events are? Event-level UQ with Bayesian DL

Cristiano Fanelli (W&M)

9/25/23, 9:00 AM

Morning session 1

3. Challenges and Progress towards Applying AI/ML methods on Experimental Data

Yihui Ren (BNL)

9/25/23, 9:30 AM

Morning session 1

4. Machine Learning assisted Lepton-Jet asymmetries at H1 & AI Detector Co-Design for the EIC

Fernando Torales - Acosta (LBNL)

9/25/23, 10:00 AM

Morning session 1

5. Theory-driven Quantum Machine Learning for Colliders

Jack Araz (Durham)

9/25/23, 11:00 AM

Morning session 2

6. Neural Quantum States for Neutron Stars

Bryce Fore (Argonne)

9/25/23, 11:30 AM

Morning session 2

7. Applications of machine-learned flows to lattice QCD

Daniel Hackett (MIT)

9/25/23, 12:00 PM

Morning session 2

8. Developing expressive ML models for scaling lattice QCD

Denis Boyda (MIT)

9/25/23, 2:30 PM

Afternoon session

9. Scalar field theories via neural networks at initialization

Anindita Maiti (Perimeter)

9/25/23, 3:00 PM

Afternoon session

10. Entanglement and thermalization in pair creation

Adrien Florio (BNL)

9/25/23, 4:00 PM

Afternoon session

11. Multi-differential Jet Substructure Measurement in electron-proton Collisions

Vinicius Mikuni (LBNL)

9/25/23, 4:30 PM

Afternoon session

12. Boostin Loop Amplitudes and Event Generation with Precision Networks

Anja Butter (Heidelberg)

9/26/23, 9:00 AM

Morning session 2

13. Optimal Transport: From Jet Physics to Quark-Gluon Plasma

Tianji Cai (SLAC)

9/26/23, 9:30 AM

Morning session 2

14. Extracting physics and examining observable sensitivity via Bayesian Inference

Raymond Ehlers (Lawrence Berkeley National Laboratory/UC Berkeley)

9/26/23, 10:00 AM

Morning session 2

15. Accelerated Monte Carlo methods from machine learning

Yukari Yamauchi (University of Washington)

9/26/23, 11:00 AM

Morning session 2

16. Simulating EIC electron-proton events with diffusion models

Peter Devlin (JLab)

9/26/23, 11:30 AM

Morning session 2

17. Is IRC safe information all you need for jet classification?

Dimitris Athanasakos (Stony Brook)

9/26/23, 12:00 PM

Morning session 2

18. Reconstructing Parton Structure from Lattice QCD

Joe Karpie (JLab)

9/26/23, 2:30 PM

Afternoon session

19. Covariant Extension of Generalized Parton Distributions using Artificial Neural Networks

Pietro Dall’Olio (UNAM)

9/26/23, 3:00 PM

Afternoon session

20. The QuantOM Event-Level Inference Framework

Daniel Lersch (JLab)

9/26/23, 3:30 PM

Afternoon session

1. Welcome

Abhay Deshpande (SBU)